2009 Fiscal Year Final Research Report
Nonlinear Dynamics Analysis of Complex-Valued Neural Networks and its Engineering Applications
Project/Area Number |
19700214
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Sensitivity informatics/Soft computing
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Research Institution | The University of Tokyo |
Principal Investigator |
TANAKA Gouhei The University of Tokyo, 生産技術研究所, 助教 (90444075)
|
Project Period (FY) |
2007 – 2009
|
Keywords | ニューラルネットワーク / 非線形ダイナミクス / 画像処理 / 複素関数 |
Research Abstract |
Complex-valued neural networks have been studied from nonlinear dynamics viewpoint to develop the theory and the algorithm for addressing complex-valued information such as wave phenomena and gray-level images. I have proposed a new activation function with continuous nonlinearity for a complex-valued neuron and applied it to gray-level image restoration and graph coloring problem. Numerical results have shown that the performance of complex-valued neural network can be improved by the proposed continuous activation function compared with the conventional discrete activation function.
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Research Products
(10 results)